Package: bmscstan
Type: Package
Title: Bayesian Multilevel Single Case Models using 'Stan'
Version: 1.2.1.0
Authors@R: person("Michele", "Scandola", email = "michele.scandola@univr.it",
                  role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0853-8975"))
Description: Analyse single case analyses against a control group.
    Its purpose is to provide a flexible, with good power and
    low first type error
    approach that can manage at the same time controls' and patient's data.
    The use of Bayesian statistics allows to test both the alternative and
    null hypothesis.
    Scandola, M., & Romano, D. (2020, August 3). <doi:10.31234/osf.io/sajdq>
    Scandola, M., & Romano, D. (2021). <doi:10.1016/j.neuropsychologia.2021.107834>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), rstan, ggplot2, bayesplot
Imports: loo, logspline, LaplacesDemon
VignetteBuilder: knitr
Suggests: reshape2, gridExtra, bridgesampling, testthat, knitr,
        rmarkdown, covr
URL: https://github.com/michelescandola/bmscstan
BugReports: https://github.com/michelescandola/bmscstan
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2022-09-04 17:40:44 UTC; miche
Author: Michele Scandola [aut, cre] (<https://orcid.org/0000-0003-0853-8975>)
Maintainer: Michele Scandola <michele.scandola@univr.it>
Repository: CRAN
Date/Publication: 2022-09-04 18:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 16:45:35 UTC; unix
